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ACL
2012
11 years 10 months ago
Head-driven Transition-based Parsing with Top-down Prediction
This paper presents a novel top-down headdriven parsing algorithm for data-driven projective dependency analysis. This algorithm handles global structures, such as clause and coor...
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara...
ACL
2008
13 years 9 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
DAARC
2007
Springer
87views Algorithms» more  DAARC 2007»
14 years 1 months ago
Using Very Large Parsed Corpora and Judgment Data to Classify Verb Reflexivity
Erik-Jan Smits, Petra Hendriks, Jennifer Spenader
IJCAI
2007
13 years 9 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
ACL
2010
13 years 5 months ago
Top-Down K-Best A* Parsing
We propose a top-down algorithm for extracting k-best lists from a parser. Our algorithm, TKA is a variant of the kbest A (KA) algorithm of Pauls and Klein (2009). In contrast to ...
Adam Pauls, Dan Klein, Chris Quirk